Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine business automation.
Morning Overview on MSN
Could gravity be a clue we’re living in a simulation?
Gravity is usually presented as the most familiar of nature’s forces, the quiet background pull that keeps feet on sidewalks ...
Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...
A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...
Nvidia stunned Silicon Valley on Wednesday by agreeing to pay about $20 billion to license technology from Groq, one of the ...
Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...
The Brighterside of News on MSN
New memory structure helps AI models think longer and faster without using more power
Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason ...
Our thoughts are specified by our knowledge and plans, yet our cognition can also be fast and flexible in handling new ...
Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.
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